Triple

T22243186
Position Surface form Disambiguated ID Type / Status
Subject José Faustino Sánchez Carrión E549772 entity
Predicate workLocation P7 FINISHED
Object Sayán NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sayán | Statement: [José Faustino Sánchez Carrión, workLocation, Sayán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sayán
Context triple: [José Faustino Sánchez Carrión, workLocation, Sayán]
  • A. Sayán chosen
    Sayán is a small Peruvian town in the Lima region, known for its agricultural production and warm valley climate.
  • B. Sayan
    Sayan is a lush, river-valley village in Ubud, Bali, known for its terraced rice fields, jungle scenery, and luxury resorts.
  • C. Sayran
    Sayran is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
  • D. Sayhun
    Sayhun is an alternative transliteration of the name Seyhun, which is often associated with the historical Jaxartes/Syr Darya river region in Central Asia.
  • E. Bayanhot
    Bayanhot is the administrative center and main urban settlement of Alxa League in western Inner Mongolia, China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1321655b0819091f1ddf06c67f3c2 completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.